在国家卫生服务 (NHS) 中实施人工智能 (AI):伦敦西南部AI工作组的经验
S C Shelmerdine1, D Togher2, S Rickaby3
1Department of Clinical Radiology, Great Ormond Street Hospital for Children, London, WC1H 3JH, UK; University College London, Gower Street, London, WC1E 6BT, UK; UCL Great Ormond Street Institute of Child Health, Great Ormond Street Hospital for Children, London, WC1N 1EH, UK; NIHR Great Ormond Street Hospital Biomedical Research Centre, 30 Guilford Street, Bloomsbury, London, WC1N 1EH, UK.
Clinical radiology
|June 28, 2024
概括
在放射学中实施人工智能 (AI) 需要一个结构化的方法. 专门的AI团队,清晰的愿景和战略规划对于成功采用AI至关重要,以提高患者护理和运营效率.
科学领域:
- 放射学 放射学是一门学科.
- 人工智能的人工智能
- 医疗保健技术 技术 医疗保健 技术
背景情况:
- 人工智能 (AI) 在放射学中的快速演变为众多供应商提供了选择和证据要求.
- 选择和实施适当的人工智能工具来增强患者护理是一个重大挑战.
研究的目的:
- 为放射学中人工智能部署提出一个结构化的方法.
- 为国家卫生服务 (NHS) 中的人工智能实施提供蓝图.
- 引导放射科部门为AI采用做出明智决策.
主要方法:
- 从伦敦西南部的一个全面的案例研究中得出结论.
- 强调需要一个专门的人工智能团队,具有明确的愿景和领导力.
- 强调人工智能实施计划的重要性,重点是患者护理和效率.
主要成果:
- 对人工智能部署的结构化方法对于导航复杂性至关重要.
- 形成一个拥有多样化技能的专业AI团队至关重要.
- 制定全面的AI实施计划是成功的关键.
结论:
- 在放射学中成功实施人工智能需要一个清晰的愿景,自信的领导力和一个专注的团队.
- 人工智能实施计划应优先考虑增加患者护理,运营效率和标准化协议.
- 解决可扩展采用,员工参与,供应商选择和变更管理的框架对于负责任的AI集成至关重要.
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